WP28
Beyond One-Step Distributed Maximum Likelihood: Local Bias Cancellation, Global Synchronization, and the Price of Inexact Curvature
A joint order–round frontier, its sharpness in an exact model, and measured communication costs
Distributed maximum likelihood estimation trades statistical efficiency for communication. The paper studies a two-phase protocol in which each of K workers corrects the bias of its local maximum likelihood estimator by an r-th order split-sample extrapolation over nested sub-blocks, the coordinator averages the…